Assumptions of Linear Regression Here you can find the Assumptions Poster as seen in the Machine Learning A-Z course. »
Data Science: The Soft Skills Handbook Here are the best tips we here at SuperDataScience can give for both new data scientists (and for a large portion of experienced ones who maybe slipped under the radar) keen to build their softer side. »
9 Tips on How To Be the Best at Remote Working Here at SuperDataScience (SDS) we are advocates for teleworking and are excited to be able to share with you our tips on how we make it work. »
Smarter Exercising for the Data Scientist After reading this you’ll be better equipped to know when and how to get that blood flowing to keep you at your A-game. »
¿Debería entrar en la Ciencia de Datos? Parece que estamos en una época de Ciencias de Datos. No ha habido nada tan popular desde tal vez el iPhone. Te hace preguntarte, «¿Debería entrar en la Ciencia de Datos?» Si no me crees, míralo tu mismo. »
Smarter Sleeping for Data Scientists We are here to guide you through the current research on the effects of sleep on cognitive behaviours associated with office/screen? work. »
R vs Python – Which is best? Whether you have experience in other coding tools or not, the individual features of these two, including the vast arrays of libraries and packages may initially seem daunting, but don't worry, we're here to help! »
Introduction to Neural Network Our favorite way to fearlessly dive into understanding how neural networks for natural language processing work is via covering an architecture known as Sequence2Sequence, or Seq2Seq. As their name implies, these neural networks ... »